Euler discretization of logistic growth Created 2026-10-14 Updated 2026-10-20
The forward Euler method applied to the logistic differential equation becomes the logistic map after , . The positive equilibrium point of the differential equation has perturbations decaying as . Its discrete fixed-point multiplier is : for , the discretization has an artificial oscillatory instability, leading initially to alternation on successive steps. This contrasts with the positive perturbation multiplier of the exact time-step map.
A density deficit in a flux tube is not by itself an instability calculation. For example, a straight magnetized tube in otherwise field-free gas at the same temperature has lateral balance . The perfect gas law then gives , so the tube rises unless some other force balances its weight deficit. This configuration simply lacks magnetostatic equilibrium. A magnetic buoyancy instability, in contrast, starts from a force-balanced atmosphere and asks whether a small allowed displacement grows. A balanced horizontal magnetic layer can be stable or unstable; the presence of magnetic pressure alone does not decide this.
Assume a smooth equilibrium, with downward gravitational acceleration , and write for the gas constant per unit mass. The ambient total pressure and force balance are
We use ideal magnetic flux freezing on the displacement time scale and rapid lateral pressure equilibration. A bodily displacement perpendicular to a straight horizontal tube does not change its length or bend its field. If its area is , conservation of magnetic flux and mass per unit length gives and . Thus the tube preserves
Efficient heat exchange fixes its temperature to the ambient temperature at its new height, not to its original temperature. This is the thermal assumption that distinguishes the requested criterion from the adiabatic one.
Take a tube initially at and let . After a small upward displacement , let be the density it would have in lateral balance at . Its preserved and imposed local temperature give
At the initial position . Differentiate this relation at :
For the ambient atmosphere the same differentiation must also differentiate . It gives
Subtracting isolates the actual displaced density contrast:
The pressure-gradient force on the tube balances the weight of the displaced ambient gas, so its leading vertical buoyancy acceleration is
The coefficient multiplying is positive precisely when the tube becomes lighter on upward displacement. Thus the isothermal interchange criterion for magnetic buoyancy is
Where , this is simply , or . The squared form is independent of the field's choice of direction. Equality is neutral at this order, and the reversed inequality is restoring for these displacements. A layer with an interval satisfying the strict inequality admits local growing interchange disturbances under the assumed pressure/thermal equilibration. The calculation does not address field-bending undular modes, finite heat-transfer times or magnetic diffusion; those can change the criterion. In particular, the localized interchange criterion for a magnetized atmosphere with an adiabatic gas response is not interchangeable with this fast-thermal-exchange result.
Let be the magnitude of the downward gravity and write for the thermal expansion coefficient, to distinguish it from the dynamo coefficient of the previous question. The conductive state has , and . Its gravitational term is absorbed in a background hydrostatic pressure.
For the dimensional two-dimensional fields, choose the stream function and Cartesian magnetic flux function conventions
These automatically give zero divergence. Define the Jacobian determinant bracket , so . The full magnetic flux function, including the imposed field, must be retained in the magnetic force; using the perturbation alone would lose its linear restoring term.
The scalar vorticity is . Also , and hence
The buoyancy perturbation is , whose curl in the direction is . Taking the curl of the momentum equation and multiplying by minus one eliminates pressure and therefore gives
We have restored in this dimensional expression. The printed magnetic force uses units in which , or equivalently a correspondingly rescaled field.
Use length scale , time scale , velocity scale , stream-function scale , magnetic flux-function scale , and temperature perturbation scale . Thus the dimensionless total flux function is
Here now denote coordinates divided by , and the same notation in the second identity denotes the physical temperature. The dimensionless parameters for thermal-diffusion scaling of planar magnetoconvection are
These are the Rayleigh number, Chandrasekhar number, Prandtl number and magnetic-to-thermal diffusivity ratio. The nondimensional magnetic-force coefficient is , so omitting the factor would use a different magnetic parameter.
The resistive induction equation becomes . Since , its perturbation equation has source . Similarly, advection of the conductive temperature gradient gives , producing the source in the perturbation heat equation. The resulting nonlinear equations are therefore
This derives both forcing signs from the background fields, rather than selecting them by a stream-function convention after the fact.
For the specified roll mode put and , the positive eigenvalue of minus the Laplacian on each spatial factor. Write
and take , , , with amplitudes depending on . These factors satisfy the printed boundary conditions: sine factors make the normal velocity and vanish at the required faces; the second derivatives of the velocity factors give the stress-free conditions; vanishes at the top and bottom and vanishes at the sides.
Discard quadratic perturbation terms. Since , the magnetic force linearizes to . The needed derivatives are
The heat and induction equations give and . In the vorticity equation, its left side is and its three right-side contributions are . Consequently, with
the three-amplitude vertical-field magnetoconvection system is
Primes now mean . They are genuine time derivatives, as the original PDF shows.
For its linear stability, seek amplitudes proportional to . Eliminating or taking the determinant gives
where
Assume the physical range , , . The Routh-Hurwitz stability criterion gives strict decay exactly when , and . At these hold. As increases, the first loss of stability can occur through a zero eigenvalue or a conjugate imaginary pair.
The stationary threshold is
At this value, with
If , the other two roots have negative real parts and the zero root is simple. Its derivative with respect to is . This is stationary onset; the reflection symmetry of the roll permits a generic pitchfork bifurcation. The linear calculation does not determine whether the nonlinear branch is supercritical or subcritical.
For oscillatory onset set , . Separating real and imaginary parts gives and . Solving the latter for yields
A genuine Hopf bifurcation onset requires , so
At this threshold , giving the third root . The pair crosses transversely: differentiating at gives
The first instability of the conductive state is therefore stationary at if , or if and . It is oscillatory at if and . At , the two thresholds meet and : the frequency is zero and neither a simple pitchfork nor a nonzero-frequency Hopf test applies. The oscillatory marginality in vertical-field magnetoconvection formula must not be used where its frequency squared is negative.
Figure 1.
Stationary and oscillatory magnetoconvection neutral curves for Prandtl number one and magnetic-to-thermal diffusivity ratio one quarter, showing the double-zero merger and stable region
. Details.
For conversion back to physical parameters, , while the dimensional Hopf frequency is . These are onset conditions for the specified spatial mode. Identifying the globally first mode would additionally require comparison over the allowed spatial modes. Nonlinear saturation and the stability of the bifurcating finite-amplitude states are not determined by this linear three-amplitude system alone.
The basic state has velocity field
and buoyancy . For disturbances independent of , the linearized equations are
Substituting a plane wave proportional to and eliminating , , and gives the dispersion relation
Thus the requested coefficients are
An instability exists precisely when some wavenumber pair makes . Since the Brunt–Väisälä frequency satisfies , this is possible exactly when
The basic relative vorticity is , so its absolute vorticity is . Its Ertel potential vorticity is therefore
The instability criterion can consequently be written as : the vertical absolute vorticity has the opposite sign to the planetary vorticity. This is inertial instability, approached most directly by disturbances with .
Replicator equation Created 2026-10-14 Updated 2026-10-20
The replicator equation says that a strategy grows in frequency when its expected payoff exceeds the population's current mean payoff. It is an ordinary differential equation for a composition, rather than for total population size. The subtraction of the mean is what makes relative success matter: even a type growing in absolute number can shrink as a fraction if other types grow faster.
Let be the frequency of pure strategy , with available pure strategies and
In a symmetric bimatrix game, let the payoff matrix have entry equal to the payoff to strategy against . The other player's payoff in that encounter is : symmetry between player roles does not require . Uniform random encounters give the expected payoffs and their population mean
After choosing the time unit so that the growth-rate scale is one, the continuous-time replicator equation is
Here a payoff is measured on a scale proportional to net growth per unit time, not merely as an arbitrary preference ranking. More generally one can specify locally Lipschitz frequency-dependent payoffs directly; the same equation with then defines a unique frequency trajectory. The linear pairwise model and its reproductive interpretation are given in Taylor and Jonker (1978), sections 2–3; the formulas here also follow by the following direct normalization.
Suppose the number of type obeys , where the baseline is identical for all types. Set and . The quotient rule gives
Thus the common baseline cancels. Adding the same constant to every entry of leaves the replicator equation unchanged; multiplying by a positive constant changes only the speed along trajectories. The same payoff matrix can therefore describe frequency evolution at different growth-rate baselines and time scales.
The probability simplex is invariant in forward time. On ,
Normalization alone would not exclude negative frequencies. Nonnegativity follows as well: along a solution,
An absent type remains absent, and a positive frequency remains positive at every finite time. For the fixed payoff matrix model, bounded rates on the compact probability simplex give global forward solutions. Frequencies can still tend to zero as . Each face is invariant, so this model has no spontaneous introduction of new pure strategies; mutation or outside introductions would require additional terms. For two present types the logarithm of their frequency ratio satisfies , directly expressing the accumulated payoff advantage.
For two pure strategies, write the composition as , where is the frequency of strategy 1, and let
Their payoff difference and the resulting scalar ordinary differential equation are
In the interior , the sign of the payoff difference determines the direction of motion. The endpoints are always equilibrium points, and an additional interior equilibrium point exists precisely when the affine payoff difference has a zero strictly between them. At a simple interior zero , : a negative value gives asymptotic stability, a positive value gives instability. At the endpoints and , with stability understood relative to . A zero derivative requires examining the actual flow rather than this strict sign test.
For an original coordination game, imagine two conventions that reward matching, with convention 1 giving the larger matching reward. Choose
The crossing is . Below it, convention 1 loses frequency; above it, convention 1 gains frequency. The endpoint equilibrium points and have one-sided asymptotic stability, while is unstable: the corresponding derivatives are and , respectively. Every initial tends to , every initial tends to , and exactly stays there. Even the convention with the larger matching reward can disappear if it starts below the threshold. This is bistability, not selection of a universally best convention.
Figure 1.
Toy coordination model: an unstable frequency threshold separates attraction to the two pure conventions
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The compositions giving a symmetric Nash equilibrium in this coordination game are the two pure conventions and the mixed composition . Both pure conventions are evolutionarily stable strategies because a mutant convention has strictly lower payoff against the pure resident. The mixed symmetric Nash equilibrium is not an evolutionarily stable strategy: against that resident both conventions tie, but after a pure convention-1 mutant is introduced its payoff advantage is . Equal payoffs at a symmetric Nash equilibrium need not provide resistance to invasion or asymptotic stability.
For an original coexistence model, choose payoffs making each convention advantageous when sufficiently rare:
Here attracts every initial composition with both types present: below it and above it. The interior derivative is , while and make both endpoints unstable to introduction of the other type. The endpoints nevertheless remain stationary if the other type is exactly absent; the attraction statement excludes those boundary initial states.
Figure 2.
Toy coexistence model: both rare types can invade, and every interior composition approaches frequency three quarters
. Details.
The sole symmetric Nash equilibrium in this coexistence model is . It is also an evolutionarily stable strategy. For any different mixed strategy , the first comparison in the two-condition criterion for evolutionary stability ties because . Its second comparison is strictly positive:
Thus restoring frequency feedback can protect a mixture even though all present types earn equal payoffs at the mixture. Coexistence here means different individuals using different pure strategies; it does not require every individual to randomize with a mixed strategy.
Frequency evolution need not increase the mean payoff. In the coexistence example , whose maximum occurs at , whereas the attracting composition is . For , the frequency increases while . Individual payoff advantages drive the equation; maximizing collective mean payoff is a different optimization problem.
More generally, a rest point only equalizes payoffs among present types: implies . A symmetric Nash equilibrium additionally requires for every absent type. All vertices are rest points even when an absent type could invade. For finite symmetric bimatrix games, a rest point with Lyapunov stability on the full probability simplex is a symmetric Nash equilibrium; an interior trajectory that converges has a symmetric Nash equilibrium as its limit. These are conditional results, not a convergence theorem for every trajectory. See Cressman and Tao (2014), Theorem 1.
The rock paper scissors payoff matrix gives an explicit obstruction to universal convergence:
Since , , and in the interior . Thus is conserved. Its maximum on the probability simplex occurs only at , the unique symmetric Nash equilibrium, so an interior trajectory starting elsewhere cannot converge to that composition. Every other interior product level is a closed curve without a rest point, giving a periodic orbit. The existence of these cycles is also discussed in Cressman and Tao (2014), Example 1. The useful lesson is to inspect the specified payoff feedback and dynamical system, rather than infer convergence from the existence of an evolutionarily stable strategy or a Nash equilibrium.